The presence of unknown mutual coupling between array elements is knownto significantly degrade the performance of most high-resolution direction of arrival (DOA)estimation algorithms. In this paper, a robust subspace...The presence of unknown mutual coupling between array elements is knownto significantly degrade the performance of most high-resolution direction of arrival (DOA)estimation algorithms. In this paper, a robust subspace-based DOA estimation and arrayauto-calibration algorithm is proposed for uniformly linear array (ULA), when the arraymutual coupling is present. Based on a banded symmetric Toeplitz matrix model for themutual coupling of ULA, the algorithm provides an accurate and high-resolution DOAestimate without any knowledge of the array mutual couplings. Moreover, a favorableestimate of mutual coupling matrix can also be achieved simultaneously for arrayauto-calibration. The algorithm is realized just via one-dimensional search or polynomialrooting, with no multidimensional nonlinear search or convergence burden involved. Theproblem of parameter ambiguity, statistically consistence and efficiency of the newestimator are also analyzed. Monte-Carlo simulation results are also provided todemonstrate the effectiveness and behavior of the proposed algorithm.展开更多
针对L型阵,提出了一种互耦自校正算法(SAL:self-calibration algorithm for L-shaped array).该算法利用L型阵列特殊的互耦特性,实现了对信源信息(DOA)和阵列互耦系数的解耦合,从而无需任何校正源就可以实现两类参数的估计.与基于循环...针对L型阵,提出了一种互耦自校正算法(SAL:self-calibration algorithm for L-shaped array).该算法利用L型阵列特殊的互耦特性,实现了对信源信息(DOA)和阵列互耦系数的解耦合,从而无需任何校正源就可以实现两类参数的估计.与基于循环迭代最小化技术的传统自校正算法相比,该算法先通过搜索谱峰估计信源信息(DOA),再估计互耦系数,从而避免了多维搜索带来的庞大运算量和迭代中的全局收敛性问题.仿真结果表明本文提出的自校正算法具有精度高、计算量小的特点.展开更多
The effect of gain-phase perturbations and mutual coupling significantly degrades the performance of digital array radar (DAR). This paper investigates array calibration problems in the scenario where the true locatio...The effect of gain-phase perturbations and mutual coupling significantly degrades the performance of digital array radar (DAR). This paper investigates array calibration problems in the scenario where the true locations of auxiliary sources deviate from nominal values but the angle intervals are known. A practical algorithm is proposed to jointly calibrate gain-phase errors and mutual coupling errors. Firstly, a simplified model of the distortion matrix is developed based on its special structure in uniform linear array (ULA). Then the model is employed to derive the precise locations of the auxiliary sources by one-dimension search. Finally, the least-squares estimation of the distortion matrix is obtained. The algorithm has the potential of achieving considerable improvement in calibration accuracy due to the reduction of unknown parameters. In addition, the algorithm is feasible for practical applications, since it requires only one auxiliary source with the help of rotation platforms. Simulation results demonstrate the validity, robustness and high performance of the proposed algorithm. Experiments were carried out using an S-band DAR test-bed. The results of measured data show that the proposed algorithm is practical and effective in application. (C) 2016 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics.展开更多
阵元互耦会使大部分高分辨DOA(Direction of Arrival,来波方向)估计算法的性能恶化。针对均匀圆阵,提出一种互耦条件下的方位估计及自校正算法。该算法先利用均匀圆阵特殊的互耦特性对信号方位信息和互耦信息实现了解耦合,再构造代价函...阵元互耦会使大部分高分辨DOA(Direction of Arrival,来波方向)估计算法的性能恶化。针对均匀圆阵,提出一种互耦条件下的方位估计及自校正算法。该算法先利用均匀圆阵特殊的互耦特性对信号方位信息和互耦信息实现了解耦合,再构造代价函数来估计信号的方位信息,最后根据方位信息来估计互耦信息,整个过程无需任何互耦信息和校正源就可以实现两类参数的估计。理论分析和仿真实验表明:提出的算法很好地解决了均匀圆阵的耦合问题,具有精度高、计算量小的特点。展开更多
互耦效应会对阵列流型产生扰动并改变子阵间的旋转不变关系,导致二维子空间类算法性能急剧下降甚至失效。传统二维波达方向(two-dimension direction of arrival,2D-DOA)估计和互耦校正算法存在二维谱峰搜索困难、迭代寻优慢和计算量大...互耦效应会对阵列流型产生扰动并改变子阵间的旋转不变关系,导致二维子空间类算法性能急剧下降甚至失效。传统二维波达方向(two-dimension direction of arrival,2D-DOA)估计和互耦校正算法存在二维谱峰搜索困难、迭代寻优慢和计算量大等问题。利用均匀矩形阵列的特殊结构以及互耦系数矩阵的特点,提出了一种互耦效应影响下能实现完全解互耦的二维旋转不变子空间算法。该算法通过合理选取3个在互耦影响下仍具备旋转不变关系的子阵列,构建扩展的协方差矩阵,通过一次特征分解,即可实现2D-DOA估计和互耦抑制。从理论上证明了ESPRIT算法应用于互耦效应影响下2D-DOA估计的可行性。算法无需二维谱峰搜索和阵列互耦任何信息,计算量得到有效降低。仿真验证了该算法能够实现稳健的2D-DOA估计,并抑制互耦效应影响,估计性能与无误差时的标准ESPRIT算法接近。展开更多
文摘The presence of unknown mutual coupling between array elements is knownto significantly degrade the performance of most high-resolution direction of arrival (DOA)estimation algorithms. In this paper, a robust subspace-based DOA estimation and arrayauto-calibration algorithm is proposed for uniformly linear array (ULA), when the arraymutual coupling is present. Based on a banded symmetric Toeplitz matrix model for themutual coupling of ULA, the algorithm provides an accurate and high-resolution DOAestimate without any knowledge of the array mutual couplings. Moreover, a favorableestimate of mutual coupling matrix can also be achieved simultaneously for arrayauto-calibration. The algorithm is realized just via one-dimensional search or polynomialrooting, with no multidimensional nonlinear search or convergence burden involved. Theproblem of parameter ambiguity, statistically consistence and efficiency of the newestimator are also analyzed. Monte-Carlo simulation results are also provided todemonstrate the effectiveness and behavior of the proposed algorithm.
文摘针对L型阵,提出了一种互耦自校正算法(SAL:self-calibration algorithm for L-shaped array).该算法利用L型阵列特殊的互耦特性,实现了对信源信息(DOA)和阵列互耦系数的解耦合,从而无需任何校正源就可以实现两类参数的估计.与基于循环迭代最小化技术的传统自校正算法相比,该算法先通过搜索谱峰估计信源信息(DOA),再估计互耦系数,从而避免了多维搜索带来的庞大运算量和迭代中的全局收敛性问题.仿真结果表明本文提出的自校正算法具有精度高、计算量小的特点.
基金supported by the National Natural Science Foundation of China (No. 61571449)
文摘The effect of gain-phase perturbations and mutual coupling significantly degrades the performance of digital array radar (DAR). This paper investigates array calibration problems in the scenario where the true locations of auxiliary sources deviate from nominal values but the angle intervals are known. A practical algorithm is proposed to jointly calibrate gain-phase errors and mutual coupling errors. Firstly, a simplified model of the distortion matrix is developed based on its special structure in uniform linear array (ULA). Then the model is employed to derive the precise locations of the auxiliary sources by one-dimension search. Finally, the least-squares estimation of the distortion matrix is obtained. The algorithm has the potential of achieving considerable improvement in calibration accuracy due to the reduction of unknown parameters. In addition, the algorithm is feasible for practical applications, since it requires only one auxiliary source with the help of rotation platforms. Simulation results demonstrate the validity, robustness and high performance of the proposed algorithm. Experiments were carried out using an S-band DAR test-bed. The results of measured data show that the proposed algorithm is practical and effective in application. (C) 2016 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics.
文摘阵元互耦会使大部分高分辨DOA(Direction of Arrival,来波方向)估计算法的性能恶化。针对均匀圆阵,提出一种互耦条件下的方位估计及自校正算法。该算法先利用均匀圆阵特殊的互耦特性对信号方位信息和互耦信息实现了解耦合,再构造代价函数来估计信号的方位信息,最后根据方位信息来估计互耦信息,整个过程无需任何互耦信息和校正源就可以实现两类参数的估计。理论分析和仿真实验表明:提出的算法很好地解决了均匀圆阵的耦合问题,具有精度高、计算量小的特点。
文摘互耦效应会对阵列流型产生扰动并改变子阵间的旋转不变关系,导致二维子空间类算法性能急剧下降甚至失效。传统二维波达方向(two-dimension direction of arrival,2D-DOA)估计和互耦校正算法存在二维谱峰搜索困难、迭代寻优慢和计算量大等问题。利用均匀矩形阵列的特殊结构以及互耦系数矩阵的特点,提出了一种互耦效应影响下能实现完全解互耦的二维旋转不变子空间算法。该算法通过合理选取3个在互耦影响下仍具备旋转不变关系的子阵列,构建扩展的协方差矩阵,通过一次特征分解,即可实现2D-DOA估计和互耦抑制。从理论上证明了ESPRIT算法应用于互耦效应影响下2D-DOA估计的可行性。算法无需二维谱峰搜索和阵列互耦任何信息,计算量得到有效降低。仿真验证了该算法能够实现稳健的2D-DOA估计,并抑制互耦效应影响,估计性能与无误差时的标准ESPRIT算法接近。
